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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is data correction and why is it important?
💡 Hint: Think about why accuracy matters in surveys.
Question 2
Easy
Describe the purpose of sample expansion.
💡 Hint: How do we ensure our smaller data set accurately represents a bigger group?
Practice 4 more questions and get performance evaluation
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What does data correction help to achieve?
💡 Hint: Think about why we worry about data quality.
Question 2
True or False: Sample expansion is only performed if the survey sample is too small.
💡 Hint: Consider the purpose of accurately reflecting the overall population.
Solve 2 more questions and get performance evaluation
Push your limits with challenges.
Question 1
If a survey collects data indicating an average household size of 3 but census data reveals 5, what adjustments need to be made?
💡 Hint: Consider how the sample size correlates with actual census data.
Question 2
Given survey results of 150 completed responses out of a total of 600 households, with 50 no responses, calculate the expansion factor, and explain its significance.
💡 Hint: Use the expansion factor formula correctly to yield your conclusions.
Challenge and get performance evaluation